Ask a freight broker what their first-tender acceptance rate is, and you'll usually get one of two responses: a confident number that turns out to be a rough estimate, or a blank stare. For a metric that directly predicts carrier fallout risk, re-cover cost, and dispatcher workload, first-tender acceptance rate is surprisingly undertracked at mid-market brokerages. This article looks at what the number actually measures, where brokerages typically land, and what operational factors tend to move it.
Defining the Metric Precisely
First-tender acceptance rate measures the percentage of loads for which the first carrier tendered accepts and completes the load without fallout. It's not the same as tender acceptance rate, which counts any acceptance regardless of whether it's the first, second, or fifth carrier approached. It's also not the same as on-time delivery rate, which measures execution after acceptance.
The distinction matters because first-tender rate captures matching quality at the decision point. A high first-tender rate means the brokerage is consistently identifying the right carrier on the first try. A low rate means brokers are spending time re-tendering — burning carrier relationship capital and dispatcher hours on avoidable recovery loops.
Industry Benchmarks for Mid-Market Brokerages
Comprehensive public data on first-tender acceptance rates is sparse, but industry surveys and operational benchmarks from brokerage associations suggest the following ranges for mid-market brokerages (150–800 loads per day):
| Performance Tier | First-Tender Acceptance Rate | Fallout Rate |
|---|---|---|
| Below median | 58–65% | 12–15% |
| Median | 66–72% | 8–12% |
| Above median | 73–80% | 5–8% |
| Top quartile | 81%+ | <5% |
These figures vary by freight type (dry van vs. flatbed vs. refrigerated), lane type (spot vs. contract), and market conditions. In tight capacity environments, first-tender rates compress across the board — even brokerages with strong carrier relationships see acceptance rates drop 5–10 points when market capacity tightens.
What Correlates with Above-Median Performance
In our experience, brokerages that consistently perform above median on first-tender rate share several operational characteristics that have less to do with technology and more to do with data discipline:
- Lane-level carrier tracking: They record which carriers actually perform on which origin-destination pairs, not just which carriers serve a region in general.
- Active carrier pre-qualification: They have a defined process for updating carrier availability before tendering, so they're not calling carriers who haven't been active on a lane in 60+ days.
- Rapid response prioritization: They tender to carriers with historically fast response times on that lane first, recognizing that a carrier who takes 4 hours to accept is more likely to fall out than one who accepts in 20 minutes.
- Fallout feedback loops: They review carriers who accepted and then fell out, and adjust tendering priority accordingly.
Why Most TMS Platforms Don't Track This Natively
Aljex, McLeod LoadMaster, MercuryGate, and most other mid-market TMS platforms record load history comprehensively. The problem is that they're load-centric, not matching-centric. The TMS knows which carrier was assigned to each load. It doesn't natively track how many carriers were contacted before that carrier was confirmed, whether the first carrier tendered accepted, or what the acceptance latency was.
Extracting first-tender acceptance rate from a standard TMS usually requires a custom report that cross-references load-creation timestamps with carrier contact logs — data that many brokerages record inconsistently or not at all. This is why the metric is undertracked: it requires discipline at data entry and a reporting layer the base TMS doesn't provide.
Setting a Realistic Improvement Target
If a brokerage is running at 65% first-tender acceptance and wants to move toward 75%, the practical path is not to overhaul the carrier network. It's to add a scoring layer to the existing tendering decision. Which carriers have accepted and run clean on this specific lane in the last 90 days? What's their current utilization? Are they posted as available on DAT or Truckstop near this origin?
Moving from 65% to 75% on a 300-load-per-day brokerage means 30 fewer loads per day require re-tendering. At 45 minutes per re-tendering event and $100 average re-cover premium, that's 22.5 broker-hours and $3,000 in daily cost avoidance. The math compounds quickly.
First-tender acceptance rate is one of those metrics that most brokerages know they should track but haven't prioritized. The reason to start now isn't competitive pressure — it's that the data is already in your TMS. You just need a layer that surfaces it at the moment the tendering decision is being made, not three weeks later in a Monday morning report.